{"id":"W4388483468","doi":"10.1016/j.oraloncology.2023.106622","title":"Predictors of prolonged treatment time intervals in oral cavity cancer","year":2023,"lang":"en","type":"article","venue":"Oral Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"Université de Montréal; AstraZeneca","keywords":"Medicine; Radiation therapy; Retrospective cohort study; Surgery; Port (circuit theory); Cohort; Confidence interval; Multivariate analysis; Logistic regression; Cancer; Oral and maxillofacial surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006670776,0.000180882,0.0002095262,0.0005483478,0.0002930547,0.0004640564,0.0003221867,0.0002731578,0.002304647],"category_scores_gemma":[0.004963196,0.0001393282,0.0003729897,0.001160112,0.0001577797,0.0003893421,0.0005201195,0.0007387105,0.0001852996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587139,"about_ca_system_score_gemma":0.0007015778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990502,"about_ca_topic_score_gemma":0.002149242,"domain_scores_codex":[0.9994051,0.000095707,0.0001102195,0.0001039012,0.0001365061,0.0001485577],"domain_scores_gemma":[0.9926875,0.001394177,0.00476107,0.0001505809,0.0003464911,0.0006601712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914657,0.00003492394,0.9956062,0.00003067658,0.00003253121,0.0001139686,0.00004461501,0.0002077362,0.0002663488,0.00002490444,0.0001311292,0.003315418],"study_design_scores_gemma":[0.000006917077,0.0001560219,0.99795,0.00001859411,0.00003080013,0.0005395316,0.0001799324,0.000464382,0.0001757755,0.00004690456,0.0004257204,0.000005416357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975961,0.001455889,0.0002070644,0.00007658424,0.00001152898,0.000007999256,0.0003193372,0.000007245455,0.0003183648],"genre_scores_gemma":[0.9993129,0.0001883443,0.000128936,0.00001095594,0.00001091215,0.000007312784,0.0002704641,0.000003316812,0.00006688038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002304647,"threshold_uncertainty_score":0.007709801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06173081844583363,"score_gpt":0.3979020942126313,"score_spread":0.3361712757667977,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}